Connect X (Twitter) Public data to BigQuery
Send X (Twitter) Public data tweets and authors to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset twitter
tweetsauthors
How to connect X (Twitter) Public data and BigQuery
5 steps. You can preview the X (Twitter) Public data data in Coupler.io before anything reaches BigQuery.
Step 1 of 5
Connect X (Twitter) Public data
Enter your X (Twitter) Public data access token. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the X (Twitter) Public data data you want in BigQuery.
Step 3 of 5
Fine-tune the export
Optional settings for this X (Twitter) Public data export.
Step 4 of 5
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the X (Twitter) Public data data.
Step 5 of 5
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites tweets with fresh X (Twitter) Public data data.
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Build your X (Twitter) Public data integrations with these destinations
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2 data types, including Tweets and Authors.
With your X (Twitter) Public data access token, entered once when you add the connection.
Yes. Set the start date and end date to cover the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with X (Twitter) Public data data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example Instagram Insights or Facebook Page Insights, and join or append them before the data reaches BigQuery.
